code: def custom(self):
      if len(self._custom_stats) == 0:
          return {}
      out = {}
      for key, val in self._custom_stats.items():
          out[key] = val / self._size_current
      return out
  
imports: import logging
  import math
  import sys
  import torch
  import graphgym.register
  from graphgym.config import cfg
  from graphgym.utils.device import get_current_gpu_usage
  from graphgym.utils.io import dict_to_json, dict_to_tb, makedirs
label_desc: Use image node_id 6 for calling the Logger obj's underlying member method code with example usage: obj.custom() and returns: out, dict